UV9102B – General course in Qualitative Research Methodology - part two
The course in Qualitative Research Methodology gives an introduction to the fundamental principles of qualitative methodology and their applications. The course provides concepts and tools needed to consider the adequacy and suitability of different qualitative research methods relevant in the field of educational sciences.
The Qualitative Research Methodology course comprises two parts; an introductory part A, which gives an overview of the current main directions in qualitative research and the standards for assessing the quality and credibility of such research, and part B which expands upon this and deals in-depth with qualitative data and forms of analysis. For candidates specializing in quantitative methods it is sufficient to take part A of the course.
Part B draws on the theoretical and methodological concepts of the basic section, and elaborates on these by exploring three main categories of qualitative data in-depth, i.e. interview data, observational data, and documents. This section discusses the relationship between different research problems and kinds of data, as well as contrasting different qualitative analytical approaches.
Upon completion of part B, students are to have acquired an understanding of different strategies for the collection of qualitative data, and the analysis of such data. They will be able to evaluate strengths and weaknesses of specific methods.
PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course. Applicants must have at least a Master's degree.
Candidates admitted to the PhD programme at the Faculty of Educational Sciences should apply through Studentweb
Other applicants may apply using this application form
Registration deadline: January 15, 2020.
Formal prerequisite knowledge
Participation in part A is required for participation in part B.
2 credits overlap with UV9101B – Basic Course in Qualitative Research Methodology. Specific part. (discontinued)
The course is based on lectures and seminars. Active contributions from the students in the form of discussion and short presentations are expected.
Students will be asked to present an outline of their own research design and types of data, and give/receive comments to/from one fellow student on their presentation.
Time: February 5-6, 2020
Place: University of Oslo, Helga Engs hus, Seminar room 231
You will find the timetable and literature on the semester webpage for this course.
Part A + Part B:
5 credit points for course participation (80% attendance is required) and approved paper (5000 words).
The paper should be a critical analysis of an assigned scientific work. In addition to discussing the quality and validity of the assigned work, the paper must discuss the data collection procedures and the analytical strategies used in the study.
Students who do not submit a paper will be rewarded 1 credit point even if they fulfil the attendance requirements for part A and part B.
Papers are to be submitted electronically in Canvas.
Deadline for paper submission is March 8, 2020.
Grades are awarded on a pass/fail scale. Read more about the grading system.